Data Scientist

Job Description

Determine the nature of analytic problems, evaluate options, and offer recommendations for resolution

 Advise on the methods and data needed and/or available to evaluate the (intelligence or data) problem

 Collaborate with data collectors and analysts to identify and close gaps on complex monitoring problems

 Provide accurate, timely, complex and sophisticated data analysis

 Determine and employ the most appropriate research design for data collection and analysis

 Analyze, evaluate, and assess quantitative data (using statistical software, computer models, geospatial models, software languages, and mathematical models) to contribute to or develop software tools, analytic models, or reports.

The pay range for this position is $70/hr – $85/hr

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com .

To learn more about how we collect, keep, and process your private information, please review Insight Globals Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/ .

Skills and Requirements

Expert-level experience working with real world data sets in predictive modelling using a scripting language such as Python, SAS and R.

 Knowledge of TensorFlow, PyTorch, scikit-learn, NLTK, Azure ML (optional), Amazon Web Services EC2.

 Expert knowledge in conducting data analysis and applying advanced statistical concepts and machine learning methods to build, train, test, and evaluate a variety of supervised and unsupervised analytic models.

 Ability to clean and process large amounts of real-world data.

 Experience retrieving and manipulating data from a variety of data sources included Db2, Oracle, SQL Server, Hadoop and flat files.

 Experience with database management systems, e.g., MySQL, SQLite, SQL, etc. Either experience with, or the ability and willingness to learn distributed processing via the Hadoop ecosystem, i.e., Spark, Impala and Hive.

 Prior experience with federal or state governments IT projects.

 Prior experience working on applications that help identify fraudulent activities (Anti-Fraud) in government or larger private organizations.

 Experience working in an analytical research environment.

 Experience with statistical and machine learning software such as pandas and scikit-learn.

 Experience in parallel processing such as GPU programming with CUDA

 Mathematica

 Experience using markup languages such as LaTeX, HTML, etc.

 Natural Language Processing for anomaly detection null

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal employment opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment without regard to race, color, ethnicity, religion,sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military oruniformed service member status, or any other status or characteristic protected by applicable laws, regulations, andordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request to HR@insightglobal.com.